Lionbridge is looking for collaborative Computational Linguists who will work with our client's Natural Language Processing team based in Barcelona, Spain.
An ideal candidate has experience and passion for working with language data and the ability to help create, categorize, audit and improve lexical data.
Working together with engineers and other team members to develop natural language processing code specific to your language.
Provide input and suggestions towards innovating new approaches and new product features tailored to your home market.
Evaluate and analyze data quality and improve linguistic resources by using case templates and expansions, non-terminals and dictionaries for speech recognition and speech synthesis.
Working towards improving accuracy by identifying errors and regressions
Actively proposing solutions and fixes to test features
Automating and integrating workflow from diverse systems.
Update and correct existing transcriptions, as well as recording audio and creating audio tests.
University level degree (Masters preferred) in Linguistics / Phonetics or Computational Linguistics (or equivalent experience)
Native speaker fluency in Spanish (Mexico or US)
Ability to work in an English speaking environment
Extended and proven knowledge of structural aspects of the language such as syntax, semantics, phonology and phonetics.
In-depth and up-to-date knowledge of popular native culture and ability to use that knowledge to inform data analysis.
Excellent computer and software skills across different operating systems
Quick prototyping, scripting and tool development (Python, Perl, Ruby, Shell, etc.)
Excellent verbal and written communication, team player mentality, collaborative in nature, attention to detail, and proven ability to manage priorities
Experience with one or more version control systems, preferably Git.
Experience working with large quantities of natural language data, lexical resources, corpora, NLP algorithms and tools preferred, but not required
Work schedule : full-time
Job duration : long term
Start date : ASAP